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Speaker "Michael Roytman" Details Back

 

Topic

Predicting Exploitability - Forecasts for Vulnerability Management

Abstract

Security is overdue for actionable forecasts. If we can predict the weather, we can certainly try to use similar models for vulnerabilities. With some open source data and a clever machine learning model, we can predict which vulnerabilities attackers are likely to write exploits for. Our model has 90% accuracy, one the day a vulnerability is released. Even better: we'll issue some forecasts live.

Profile

Michael Roytman is a recognized expert in cybersecurity data science. At Kenna, Michael is responsible for building the company’s core analytics functionality focusing on security metrics, risk measurement, and vulnerability measurement. Named one of Forbes’ 30 Under 30, Michael’s strong entrepreneurship skills include founding organizations such as Dharma, a cloud-based data management platform, and TruckSpotting, a mobile app for tracking food trucks. He also serves as an advisor to CryptoMove, as well as humanitarian organizations including Doctors without Borders, The World Health Organization, and the UN. In addition, Michael chairs the Board of Dharma and is also a board member and program director at the Society of Information Risk Analysts (SIRA). Michael is a frequent speaker at security industry events, including BSides, Metricon, RSA, SIRACon, SOURCE, and more. Michael holds a Master of Science in Operations Research degree from Georgia Institute of Technology.